Andrew Campbell

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024
Improved motif-scaffolding with SE(3) flow matching.
Trans. Mach. Learn. Res., 2024

Think While You Generate: Discrete Diffusion with Planned Denoising.
CoRR, 2024

Hyperspectral Lightcurve Inversion for Attitude Determination.
CoRR, 2024

A Federated Learning Approach for Graph Convolutional Neural Networks.
Proceedings of the 13th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2024

Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
normflows: A PyTorch Package for Normalizing Flows.
Dataset, November, 2023

normflows: A PyTorch Package for Normalizing Flows.
J. Open Source Softw., July, 2023

normflows: A PyTorch Package for Normalizing Flows.
Dataset, July, 2023

normflows: A PyTorch Package for Normalizing Flows.
Dataset, June, 2023

normflows: A PyTorch Package for Normalizing Flows.
Dataset, June, 2023

MALCOM-PSGD: Inexact Proximal Stochastic Gradient Descent for Communication-Efficient Decentralized Machine Learning.
CoRR, 2023

Space Object Identification and Classification from Hyperspectral Material Analysis.
CoRR, 2023

Trans-Dimensional Generative Modeling via Jump Diffusion Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Diffusion Schrödinger Bridge Matching.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Asynchronous Distributed IoT-Enabled Customer Characterization in Distribution Networks: Theory and Hardware Implementation.
IEEE Trans. Smart Grid, 2022

A Continuous Time Framework for Discrete Denoising Models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Online Variational Filtering and Parameter Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Gradient Based Strategy for Hamiltonian Monte Carlo Hyperparameter Optimization.
Proceedings of the 38th International Conference on Machine Learning, 2021

2019
Detecting and mapping traffic signs from Google Street View images using deep learning and GIS.
Comput. Environ. Urban Syst., 2019

2018
Transforming Psychiatry into Data-Driven Medicine with Digital Measurement Tools.
npj Digit. Medicine, 2018

2012
A holistic framework for water sustainability and eduction in municipal green spaces.
Proceedings of the 25th IEEE Canadian Conference on Electrical and Computer Engineering, 2012

2006
Can the semiempirical PM3 scheme describe iron-containing bioinorganic molecules?
J. Comput. Chem., 2006

2002
Supply of Software: Copyright and Contract Issues.
Int. J. Law Inf. Technol., 2002

1999
Banks and Business Customers: The Y2K Problem.
J. Inf. Law Technol., 1999


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